ersaree

Inf-Net

Inf-Net: Automatic COVID-19 Lung Infection Segmentation from CT Images, IEEE TMI 2020.

3DFP

An interactive 3D floorplan for Home Assistant

Adversarial-Attack-on-3D-U-Net-model-Brain-Tumour-Segmentation.

Adversarial Attack on 3D U-Net model: Brain Tumour Segmentation.

Brain-Tumor-Segmentation-and-Survival-Prediction-using-Deep-Neural-Networks

Use of state of the art Convolutional neural network architectures including 3D UNet, 3D VNet and 2D UNets for Brain Tumor Segmentation and using segmented image features for Survival Prediction of patients through deep neural networks.

CNN-Image-Segmentation

Deep learning project focused on dark matter searches

confusionMatrix

Report various statistics stemming from a confusion matrix in a tidy fashion. 🎯

ConvolutionalNeuralNetworks_FaceDetection

Face detection using convolutional neural networks

covid19.MIScnn

Robust Chest CT Image Segmentation of COVID-19 Lung Infection based on limited data

COVID19_imaging_AI_paper_list

COVID-19 imaging-based AI paper collection

DST-CBC

Implementation of our paper "DMT: Dynamic Mutual Training for Semi-Supervised Learning"

Evaluation-Metrics-Package-Tensorflow-PyTorch-Keras

ML/CNN Evaluation Metrics Package

examples

TensorFlow examples

image-segmentation-keras

Implementation of Segnet, FCN, UNet , PSPNet and other models in Keras.

Instance-Segmentation-using-UNet-and-Dice-Similarity-Coefficient

Deep learning model for identifying cell nuclei from histology images using UNet.

keras-deeplab-v3-plus

Keras implementation of Deeplab v3+ with pretrained weights

keras_tutorial

lungmask

Automated lung segmentation in CT

Mask_RCNN

Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow

nn-common-modules

Pytorch Implementations of Common modules, blocks and losses for CNNs specifically for segmentation models

pytorch-OpCounter

Count the MACs / FLOPs of your PyTorch model.

Segmentation-of-2D-Brain-MR-Images-using-Deep-Neural-Architectures

Image Segmentation using U-Net, U-Net with skip connections and M-Net architectures

segmentation_models

Segmentation models with pretrained backbones. Keras and TensorFlow Keras.

semantic-segmentation-unet

strutil

Golang metrics for calculating string similarity and other string utility functions

Tomato-Leaf-Disease-Prediction

Trident-Segmentation-CNN

Trident Segmentation CNN

unet

unet for image segmentation

unet-2

U-Net Biomedical Image Segmentation

UNet-family

Paper and implementation of UNet-related model.

Unet-for-Person-Segmentation

U-Net for person segmentation in TensorFlow using Keras API.